Triple

T9194574
Position Surface form Disambiguated ID Type / Status
Subject Serenus Zeitblom E220671 entity
Predicate createdBy P806 FINISHED
Object Thomas Mann E6705 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Thomas Mann | Statement: [Serenus Zeitblom, createdBy, Thomas Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Mann
Context triple: [Serenus Zeitblom, createdBy, Thomas Mann]
  • A. Thomas Mann
    Thomas Mann is an American actor known for his roles in films such as "Kong: Skull Island," "Project X," and "Me and Earl and the Dying Girl."
  • B. Thomas Mann chosen
    Thomas Mann was a German novelist, short story writer, and essayist renowned for works like "Buddenbrooks" and "The Magic Mountain," which explore the psychology and moral crises of modern European society.
  • C. Heinrich Mann
    Heinrich Mann was a prominent German novelist and essayist known for his socially critical works and opposition to authoritarianism in the early 20th century.
  • D. Hermann Hess
    Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
  • E. Alfred Döblin
    Alfred Döblin was a German novelist and physician best known for his modernist masterpiece "Berlin Alexanderplatz," which made him a central figure of Weimar-era literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c3614c81909e26417e00fdfa11 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf002c081909bb82bb765bbf4b1 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:25 p.m.